multrnks

A vector of ranks that may include average ranks for ties.

One of three rank score parameters in Rosenbaum (2011), specifically m1 = underline(m).

One of three rank score parameters in Rosenbaum (2011), specifically m2 = overline(m).

One of three rank score parameters in Rosenbaum (2011), specifically m = m.

Of limited interest to most users, this function is sometimes called by senmv. The function calculates the large sample approximation to a rank score transformation in Lemma 1, expression (9) of Rosenbaum (2011).

 nonparametric

The package performs a sensitivity analysis in an observational study using an M-statistic, for instance, the mean. The main function in the package is senmv(), but amplify() and truncatedP() are also useful. The method is developed in Rosenbaum Biometrics, 2007, 63, 456-464, <doi:10.1111/j.1541-0420.2006.00717.x>.

Paul Rosenbaum

sensitivitymv

Sensitivity Analysis in Observational Studies

multrnks function

<dl> <dt>rk</dt>
<dd>A vector of ranks that may include average ranks for ties.</dd> <dt>m1</dt>
<dd>One of three rank score parameters in Rosenbaum (2011), specifically m1 = underline(m).</dd> <dt>m2</dt>
<dd>One of three rank score parameters in Rosenbaum (2011), specifically m2 = overline(m).</dd> <dt>m</dt>
<dd>One of three rank score parameters in Rosenbaum (2011), specifically m = m.</dd></dl>

Arguments

Author

Approximate scores for ranks. — multrnks

<dl>

 <dt>rk</dt>
<dd>A vector of ranks that may include average ranks for ties.</dd>

 <dt>m1</dt>
<dd>One of three rank score parameters in Rosenbaum (2011), specifically m1 = underline(m).</dd>

 <dt>m2</dt>
<dd>One of three rank score parameters in Rosenbaum (2011), specifically m2 = overline(m).</dd>

 <dt>m</dt>
<dd>One of three rank score parameters in Rosenbaum (2011), specifically m = m.</dd>

</dl>

multrnks: Approximate scores for ranks.

Description

Usage

Value

Arguments

Author

References

Examples